Triple
T35808826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punt Kick |
E1035173
|
entity |
| Predicate | perceivedDangerLevel |
P184666
|
FINISHED |
| Object | high |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: high | Statement: [Punt Kick, perceivedDangerLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceivedDangerLevel Context triple: [Punt Kick, perceivedDangerLevel, high]
-
A.
perceivedThreat
Indicates that one entity regards another entity or situation as potentially harmful, dangerous, or adverse.
-
B.
isInDanger
Indicates that an entity is exposed to a significant risk of harm, loss, or adverse consequences.
-
C.
dangerousWhen
Indicates that one entity becomes harmful, risky, or unsafe under the conditions or in the presence of another entity or situation.
-
D.
hazardLevelSystem
Indicates a system’s assigned degree of risk or danger within a defined hazard classification framework.
-
E.
threatEncounteredNear
Indicates that a threat was encountered in close spatial proximity to a specified reference point or entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b365288c8190bcb11fcfba028737 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2f2b9ac8190aa05b8a1aa18ec2d |
completed | May 3, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:06 p.m.